This video provides a comprehensive walkthrough on how to export and share “living pictures” using the Lytro Desktop software. It transitions from the basics of 2D file generation to advanced 3D and raw data options, ensuring users can showcase their light-field photography across various platforms.
Exporting Living Pictures (Source: Lytro, Adam Gould, March 13, 2018, Original URL, Archived URL)
Video Summary
Time
Description
00:00 – 00:05
An introduction to exporting living pictures.
00:05 – 00:17
A guide on how to export living pictures from Lytro Desktop.
00:17 – 00:22
A demonstration of the different export formats available.
00:22 – 00:37
An overview of the 2D export formats and the adjustments that are preserved.
00:37 – 00:54
An overview of the 3D export formats and how to view them.
00:54 – 00:58
An overview of the Lytro camera raw image export format.
00:58 – 01:09
An overview of the editable depth map and living picture export formats.
01:09 – 01:30
A guide on how to export your living pictures.
Key Takeaways
Tailored Export Formats: Choose between standard 2D formats (.jpg, .tiff) for everyday sharing, or specialized 3D formats (.jps or Red-Cyan) for immersive viewing on 3D TVs or with glasses.
“Baked-In” Adjustments: When exporting to 2D, your specific edits—including focus point, f-number (depth of field), and perspective shifts—are preserved exactly as you’ve set them.
Pro-Level Post-Processing: For advanced users, the software allows you to export Editable Depth Maps and Raw Images (.lfr), giving you the flexibility to manipulate depth data in external editors like Photoshop.
Effortless Batch Processing: Save time by selecting multiple images at once; use the Prefix feature to automatically name and number your files (e.g., “Vacation_01”) for an organized library.
Real-Time Progress Tracking: Keep an eye on the Activity Monitor in the top-right corner to see exactly when your high-quality renders are finished and ready to use.
The “Living” Advantage: Even after a shot is taken, the export process lets you decide exactly how that “living” moment should be presented to the world as a static or 3D image.
The video demonstrates the Lytro Desktop 4 software suite, focusing on the Virtual Camera toolset. Unlike traditional 2D photo editing, this workflow allows for “Computational Photography,” where the user manipulates a 3D light-field.
Animating Living Pictures (Source: Lytro, Adam Gould, March 13, 2018, Original URL, Archived URL)
Video Summary
Timestamp
Description
00:00 – 00:05
Opening the software interface to manage “Living Pictures.”
00:06 – 00:14
Refocusing: Demonstrates changing the focus point after the shot.
00:15 – 00:25
Perspective Shift: Changing the viewer’s angle within the 3D data.
00:26 – 00:41
Depth Mapping: Rendering the entire scene sharp simultaneously.
00:42 – 00:54
Accessing the new optical controls for Lytro Desktop 4.
00:55 – 01:54
Virtual Aperture: Moving from f/2 (blur) to f/16 (sharpness).
01:55 – 02:14
Focal Tilt: Angling the focus plane relative to the camera sensor.
02:15 – 02:34
Selective Sharpness: Keeping two objects at different depths in focus.
02:35 – 03:03
Finalizing the “Living Picture” for export or sharing.
Detailed Breakdown
The Interactive Image (00:00 – 00:25): Introduction to “Living Pictures.” Demonstrates how a single click shifts focus between foreground and background objects and how dragging the mouse creates a 3D Perspective Shift.
Depth Mapping (00:26 – 00:41): Showcases the All-in-Focus tool. This utilizes the 3D depth map to render every object in the frame sharp simultaneously, bypassing traditional depth-of-field limitations.
The Virtual Aperture (00:42 – 01:54): Explains the shift from hardware-locked settings to software-based optics. Demonstrates the slider moving from a wide f/2 to a narrow f/16, changing the blur intensity in real-time. The video also provides a visual comparison of how adjusting the virtual aperture affects the “story” of the photo—moving from a soft, isolated subject to a crisp, high-detail landscape view.
Focal Plane Tilt (01:55 – 02:14): Introduces the Tilt Tool. This allows the user to angle the plane of focus, simulating a tilt-shift lens to create “miniature” effects or creative diagonal focus lines.
Focus Rotation (02:15 – 03:03): Demonstrates the Rotation Slider. By rotating the focal plane, the user can keep two subjects at different distances in sharp focus at the same time, a feat impossible for standard cameras.
Key Takeaways
Fixed Focus is Obsolete: The video proves that the “decisive moment” no longer applies to focus. You can choose your story after the event.
Software as Hardware: Lytro Desktop 4 acts as a virtual lens kit, providing the functionality of multiple specialized lenses (Wide-aperture primes, Tilt-shift lenses, etc.) in one interface.
The “Living Picture” Ecosystem: The end goal is an interactive file that can be shared, allowing the audience to participate in the refocusing process.
LitByLeia devices, such as the RED Hydrogen One smartphone and Lume Pad (2020) tablet, leverage JPEG file formats with embedded Leia Image Format (LIF) metadata. This proprietary encoding enables these devices’ unique lightfield displays to render depth information while ensuring easy file sharing compatibility. Unfortunately, most communication platforms and viewing devices flatten these 3D files into standard 2D images. The good news is you can extract the hidden right image in these JPEG files to create your own stereogram. Let’s explore two methods to do this.
Comparison of the observable left image and extracted right albedo image within LIF-embedded JPEG.
Prerequisite
The simplest way to move a LIF-embedded JPEG file from your LitByLeia device to a computer is through direct transfer. Here are a few options:
USB-C Cable: Connect your Leia device to a PC or Mac using a USB-C cable.
USB Storage: Copy the image to a USB drive and transfer it to another device.
If either of those direct transfer options are not possible then we recommend compressing the JPEG file into a ZIP archive and emailing yourself the file as an attachment to preserve the 3D quality of your spatial images.
Extracting the Right Image of the Stereoscopic Pair
The following methods for extracting hidden images depends on the version of the Camera app (Holocam) on your device. For newer versions of Holocam (like v1.22.7), Method #1 is recommended. We’ve tested this method with the specified version and it works. For older versions (like v1.14.0), Method #2 is suggested. Please note that these methods are mutually exclusive. If one works, the other will not.
Method #1: Using Photopea
Photopea is a free online photo editor that can handle various image formats, including JPEG files embedded with LIF metadata. Here’s how to extract the hidden image using Photopea:
1. Access the Editor: Navigate to photopea.com.
2. Initialize: If you are a first-time user, click the “Start using Photopea” button to enter the workspace.
3. Import Your File:
Click on “Open From Computer” in the center of the screen, or go to File > Open in the top menu.
Select your JPEG file with LIF metadata and click Open.
4. Verify Layers: Look at the Layers panel on the right side of the workspace to ensure all elements are visible and unlocked.
5. Extract All Assets:
Navigate to the File menu at the top left.
Select Export Layers (Note: In Photopea, this is the standard way to extract all individual layers at once).
6. Download: A dialog box will appear allowing you to choose the format (PNG, JPG, etc.). Once configured, click Save to download a .zip file containing all your extracted layers.
Method #2: Using ExifTool
ExifTool is a powerful command-line tool that can extract metadata from various image formats, including JPEG files embedded with Leia Lightfield Formatting. Here’s how to use it:
2. Install ExifTool: Follow the installation instructions for your operating system.
3. Open a command prompt or terminal: The exact steps may vary depending on your operating system. To open the Command Prompt (CMD) in Windows, you can use the keyboard shortcut “Windows key + R” to open the Run dialog box, then type “cmd” and click OK.
4. Navigate to your directory: Use the cd command to change to the directory containing your photo. In the following example, the file path “C:\Users\Realistec\Pictures” refers to a directory (or folder) on a Windows computer. Here’s a breakdown of its components:
C: This is the drive letter of the primary hard drive on the computer.
Users: This is a folder that typically contains subfolders for individual user accounts on the computer.
Realistec: This is the name of a specific user account on the computer.
Pictures: This is a subfolder within the user’s account that is typically used to store images and photos.
Therefore, the full path “C:\Users\Realistec\Pictures” points to the “Pictures” folder within the “Realistec” user account on the primary hard drive (C drive) of the computer.
Example: cd C:\Users\Realistec\Pictures
5. Run ExifTool: Start by using the following command to generate an output (*.txt) file with detailed metadata information:
exiftool -a -u -g1 -w txt myphoto.jpg
Remember to replace “exiftool” with the entire file path to your installation.
Also, remember to replace myphoto.jpg with the actual filename of your lightfield photo.
The text file will be saved as myphoto.txt
Example: C:\Users\Realistec\Desktop\exiftool-12.97_64\exiftool -a -u -g1 -w txt IMG_20240705_16504194.jpg
6. Open the newly created sidecar text file: This file provides important metadata, including Image Size, Megapixels, and the Holocam software version.
7. Check for the ‘Right Albedo’ metatag: If the file contains this specific metatag, as shown below, proceed to the next step. Otherwise, follow the instructions in Method #1.
8. Extract the XMP-LImage: Use the following command to extract the right stereoscopic image, which is identified by the ‘-RightAlbedo’ Extensible Metadata Platform (XMP) tag:
The right image has a lower resolution (1280×720) compared to the left image (3840×2160). To achieve a seamless stereoscopic viewing experience, either the right image will need to be upscaled (resampled) to match the left image’s resolution or the left image will need to be downscaled to match the right image’s resolution.
To help your stereogram software correctly combine the images, make a copy of the original (left) image and rename it “myphoto_left.jpg.” This will make it easier for the software to identify and pair the images.
Conclusion
By following these methods, you can successfully extract the hidden image from your LIF files and enjoy them on various devices and platforms.
Wigglegram (aka Animated GIF) using both the visible left image and hidden right image
